Concept | Sync Recipe#
The Sync recipe lets you duplicate or copy an existing recipe in the Flow.
Use case#
One reason you may want to use the Sync recipe is to copy your data into another database.
For example, if you have uploaded a dataset to Dataiku, there may be a time when you want this data in SQL. The Sync recipe lets you store the output dataset into SQL (or another connected database).
Sync configuration#
The main information that the Sync recipe needs is an Input and Output dataset. You also have the option to Resync Schema if the input dataset’s schema changes.
Settings dropdown#
Setting |
Description |
---|---|
Strict schema equality |
Makes the output schema match the input schema when the recipe is re-run or synchronized. |
Free output schema (name-based matching) |
Ensures that the Sync recipe never updates the output schema. Only data in columns that match in name will be synchronized. |
What’s next?#
To learn more about the Sync recipe in relation to partitioning and recipe engines, visit the reference documentation on the Sync recipe.